Optimal Design of Cobalt Crust Cutting Head Structure Parameter Based on Genetic Algorithm

被引：0
|
作者：
Xia, Yimin [1 ]
Zhang, Zhenhua [1 ]
Shen, Bin [1 ]
机构：
[1] Cent S Univ, State Key Lab High Performance Complex Mfg, Changsha 410083, Hunan, Peoples R China
来源：
AUTOMATION EQUIPMENT AND SYSTEMS, PTS 1-4 | 2012年 / 468-471卷
关键词：
cobalt crust; structure parameter; specific energy consumption; genetic algorithm;
D O I：
10.4028/www.scientific.net/AMR.468-471.2370
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
With the aim of reducing the energy consumption in the cobalt crust crushing process, the spiral mining head energy consumption is taken as the objective function. And mining head diameter, cutting pick intercept, width of cutting edge and cutting pick installation angle are selected as the optimum design variables. The constraints of each parameter is given. Genetic algorithm is applied to optimize this model. The optimized results suggest that the energy consumption was reduced by 38.3%. And it also improves the performance and economic efficiency of the spiral mining head.
引用
收藏
页码：2370 / 2373
页数：4
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